Stop Waiting! Optimize ComfyUI on Linux with TAESD & Q8 Weight Sharing

Unlock the maximum performance of your AMD Instinct MI60 32GB HBM2! In this screencast, we go beyond the default settings for the Z-Image-Turbo 6B model to achieve faster generation speeds and higher quality output on Linux.
Building on our previous comparison of ROCm 6.4 (Fedora 43) vs. ROCm 6.3 (Fedora 42), we dive into advanced configurations. We compare F16 (Full Precision) vs Q8 (8-bit Quantized) weights, showing how Q8 maintains quality while slashing VRAM usage. We also eliminate decoding bottlenecks by replacing standard VAE with TAESD for near-instant previews. Finally, we set up extra_model_paths.yaml to efficiently share weights across environments.

Previous Tutorial & Blog Post (ROCm 6.3 vs 6.4):
https://ojambo.com/amd-instinct-mi60-gpu-rocm-6-3-vs-6-4-running-comfyui-for-z-image-turbo

Resources:
Programming Books: https://www.amazon.com/stores/Edward-Ojambo/author/B0D94QM76N
Programming Courses: https://ojamboshop.com/product-category/course

Services:
One-on-one online programming tutorials: https://ojambo.com/contact
AI Installation & Migration (Z-Image-Turbo 6B & more): https://ojamboservices.com/contact

#ComfyUI #AMDInstinct #ROCm #LinuxAI #ZImageTurbo #MI60 #Fedora43 #StableDiffusion #TAESD #AIModelOptimization #EdwardOjambo #WeightSharing